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@peterpanmj Well, it looks like series.quantile and numpy.percentile offer something similar. I don't know what the 'a la' means but to the best of my knowledge, I have submitted the PR to update the docs for now.
Problem description
What is
a la
? Is it French or a typo ? Suggest change it to something easy to understandpandas/pandas/core/series.py
Lines 1838 to 1840 in f1631be
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.5.2.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
pandas: 0.18.1
nose: 1.3.7
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.24.1
numpy: 1.13.3
scipy: 1.0.0
statsmodels: 0.6.1
xarray: None
IPython: 5.1.0
sphinx: 1.4.6
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: 1.1.0
tables: 3.2.2
numexpr: 2.6.4
matplotlib: 2.1.1
openpyxl: 2.3.2
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.3
lxml: 3.6.4
bs4: 4.5.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.13
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.42.0
pandas_datareader: None
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